A field study of thermal comfort performance for a slotted louvre ventilation system in a low energy retrofit

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• 作者：Adam O&rsquo ; Donovan ; P.D. O&rsquo ; Sullivan ; ^{paul.osullivan@cit.ie} ; Michael D. Murphy
• 关键词：PMV ; predicted mean vote ; MTSV ; mean of thermal sensation votes ; PPD ; predicted percentage of dissatisfied (%) ; PD ; percentage of dissatisfied (%) ; ET ; effective temperature (° ; C) ; SET ; standard effective temperature (° ; C) ; HVAC ; heating ; ventilation ; and air-conditioning ; IEQ ; indoor environmental quality ; MAPE ; mean absolute percentage error ; RH ; relative humidity (%) ; POF ; percentage of opened to floor area ratio (%) ; H ; height (m) ; A ; area (m2)
• 刊名：Energy and Buildings
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：135
• 期：Complete
• 页码：312-323
• 全文大小：1702 K
• 卷排序：135

文摘

In this study, the effectiveness of a retrofitted natural ventilation system in a low energy building was evaluated, both subjectively and objectively, in response to an overheating scenario during shoulder seasons. Four ventilation configurations were evaluated including one control (no ventilation) configuration. Standardised questionnaires were used to evaluate the levels of subjective comfort based on ASHRAE guidelines and ISO 10551. Both subjective and objective evaluations were compared with three thermal comfort standards. Objectively, the strength of relationships between both individual parameters and indices were investigated and the errors between the actual and predicted mean thermal sensation was reported. The results indicated that the use of smaller openings provided a better mean thermal sensation than the use of a larger opening in response to an overheating scenario. Smaller louvre openings were found to achieve a sufficient level of subjective comfort in 30 min given a daily mean external temperature of 12 °C. This study found that standards varied in accuracy with ASHRAE 55 performing the best in predicting three out of four of the configurations accurately. The most accurate thermal comfort model was seen to be the effective temperature model with a mean absolute percentage error of 82%.